課程目標：
一、教導學生如何將「研究流程」、「研究架構」與「統計分析程序」進行一個緊密的連結；
二、教導學生如使用SPSS與LISREL套裝軟體，進行景觀建築與休閒遊憩領域中常用的各種多變量統計分析方法；
三、讓學生了解如何在期刊論文中呈現統計分析的結果。

課程內涵：
一、基礎統計原理、推論統計原理；
二、資料處理、描述性統計；
三、低階多變量分析；
四、探索性因素分析；
五、集群分析；
六、迴歸分析；
七、驗證性因素分析；
八、線性結構模式。

Course Target:
1. Teach students how to connect “research process”, “research structure” and “statistic analysis procedures” in a tight connection;
2. Teach students to use SPSS and LISREL software to carry out various multi-variable statistical analysis methods commonly used in landscape architecture and leisure and leisure areas;
3. Let students understand how to present the results of statistical analysis in journal articles.

Course content:
1. Basic statistical principles and recommended statistical principles;
2. Data processing and descriptive statistics;
3. Low-level multi-variable analysis;
4. Exploring factor analysis;
5. Cluster analysis;
6. Recitation analysis;
7. Analysis of verified factors;
8. Linear structure pattern.

Giving the overview of Multivariate Data Analysis and insights into Multivariate Data Analysis components. Main topics include:
1.Basic Statistics.
2.Dependence Method.
3.InterDependence Methods.
4.Structural Model.
5.Case Exercise.

Giving the overview of Multivariate Data Analysis and insights into Multivariate Data Analysis components. Main topics include:
1. Basic Statistics.
2.Dependence Method.
3.InterDependence Methods.
4.Structural Model.
5.Case Exercise.

1.邱皓政，(2002)，量化研究與統計分析：SPSS中文視窗版資料分析範例解析(二版)，台北：五南。
2.邱皓政，(2005)，量化研究法(一)，台北：雙葉。
3.邱皓政，(2005)，量化研究法(二)，台北：雙葉。
4.王保進，(2004)，多變量分析，台北：高等教育 (02-2388-5899)。
5.賴虹燕譯、酒井隆著，( 2004)，問卷設計、市場調查與統計分析實務入門，台北：博碩文化。
6.蕭文龍，(2007)，多變量分析最佳入門實用書—SPSS+LISREL(SEM)，台北：諅峰。
7.黃俊英，(2000)，多變量分析，台北：中國經濟企業研究所。
8.劉宏裕等譯 (Gratton, Chris & Jones, Ian原著)，( 2007)，運動研究方法，台北：華都文化。
9.Hair, Black, Babin, Anderson, Tatham. (2006). Multivariate Data Analysis(6th ed.). Upper Saddle River, NJ: Pearson Education.
10.陳昭蓉譯(高橋信原著)，世界第一簡單統計學因素分析篇，台北：世茂。
11.陳昭蓉譯(高橋信原著)，世界第一簡單統計學迴歸分析篇，台北：世茂。

1. Qiu Haozheng, (2002), Quantitative research and statistical analysis: Analysis of SPSS Chinese window version data analysis examples (second edition), Taipei: Wunan.
2. Qiu Haozheng, (2005), Quantitative Research Method (I), Taipei: Double Leaf.
3. Qiu Haozheng, (2005), Quantitative Research Method (II), Taipei: Double Leaf.
4. Wang Baojin, (2004), Multivariate Analysis, Taipei: Higher Education (02-2388-5899).
5. Feng Hong Yan Lu, Takashi Sakai, (2004), Question Design, Market Survey and Statistical Analysis and Initiative, Taipei: Bosing Culture.
6. Xu Wenlong, (2007), The best practical book for multivariate analysis—SPSS+LISREL(SEM), Taipei: Kuaifeng.
7. Huang Junying, (2000), Multivariate Analysis, Taipei: China Economic Enterprise Research Institute.
8. Liu Hongyu et al. (original work by Gratton, Chris & Jones, Ian), (2007), Sports Research Methods, Taipei: Huadu Culture.
9.Hair, Black, Babin, Anderson, Tatham. (2006). Multivariate Data Analysis(6th ed.). Upper Saddle River, NJ: Pearson Education.
10. Translation by Chen Zhaorong (original work by Gao Qiaoxin), the world's first simple statistical factor analysis, Taipei: Shimao.
11. Translation by Chen Zhaorong (original work by Gao Qiaoxin), the world's first simple statistical analysis chapter, Taipei: Shimao.